
Metafields give Shopify stores flexibility. You can use them to add hidden properties to products, track customer attributes, guide fulfillment workflows, and connect to external tools. But the more metafields you use, the more maintenance your store needs.
Manual cleanup, copy-paste edits, and inconsistent formatting slow down growth. Automation solves this — helping you update, sync, and scale your store’s custom data structures without relying on developer support.
In Part 6 of our What You Should Automate in Shopify series, we’re focusing on metafields and advanced store data. These are the workflows that keep your store’s backend logic sharp, up-to-date, and running clean — even as your catalog, team, and tech stack grow.
Automations to manage and clean product data
Structured product data is powerful — but only when it’s accurate. These automations help ensure your metafields stay useful, relevant, and in sync with your merchandising.
- Bulk delete metafields from a product
- Delete a product metafield
- Tag a product by collection metafields
- Use AI to translate product handles and update metafields
- Delete product metafield without a tag
Automations to enrich customer and order logic
Metafields are also useful for logging behavior, tracking spend, flagging VIPs, or updating consent records. These workflows help you manage advanced customer attributes without touching each profile manually.
- Update customer metafield when ‘Active’ tag is removed
- Automatically log yearly customer expenditures in a metafield
- Submit customer data erasure requests in bulk
- Tag orders with UTM attributes using GraphQL
- Track an event in Klaviyo when an order is created
Automations to sync data across tools and workflows
Whether you’re syncing with Airtable or updating fulfillment rules via metafields, these workflows help you pass structured data through your stack — automatically.
- Transfer draft order metafields to order metafields
- Track price changes with Airtable
- Apply a HOLD to open fulfillment orders
- Track daily POS sales for each store location
- Add orders to Google Sheets
Need more examples? The Arigato ecommerce workflow library has hundreds of prebuilt workflows that support metafields — with full control over triggers, filters, and actions.
Conclusion: structured data doesn’t need manual upkeep
Metafields make your store more powerful — but without automation, that power comes with a cost. You end up managing fields by hand, tracking logic in spreadsheets, and losing consistency as your store scales.
The right workflows help you clean, update, and sync custom data across your catalog, orders, and customer base. No guesswork. No CSVs. Just clean logic behind the scenes.
If you’re ready to scale your store’s custom data, Arigato Automation makes it easy to manage every part of your store’s logic — including metafields.